Index Of Class 9 Unit 5 Ai Book

Robotics and AI Book for Class 9 (Edition 2) With Practical Activities for Hands-on Experience for Academic year 2025-26 - ICSE Subject Code 66

INTRODUCTION TO ROBOTICS: Explores the fundamentals of robotics, including the definition, characteristics, advantages, and application of robots in hazardous environments. Discusses Isaac Asimov’s famous Three Laws of Robotics, which are fundamental principles for ethical robot design. Examines different types of robots, classified based on their terrain (aerial, ground, underwater) and control systems (manual, automatic). ROBOT AS A SYSTEM: Details the key components of a robot, including power supply, actuators, sensors, control systems, and their software and firmware. Explores the integration of mechanical design, electronic components, and computational elements in robotic systems. Discusses the design considerations and features of different types of robots, including humanoid robots, aerial robots (drones), underwater robots (AUVs), mobile robots, and industrial robotic arms. INTRODUCTION TO ARTIFICIAL INTELLIGENCE: Explores the concept of intelligence, including a look at animal intelligence, to lay the foundation for understanding AI. Traces the development and evolution of AI throughout history. Discusses AI’s diverse applications in various fields like e-commerce, automotive, social media, agriculture, and more. Highlights the advantages and positive impacts of AI technology in different sectors. INTRODUCTION TO DATA AND PROGRAMMING WITH PYTHON: Provides a beginner’s guide to Python, covering basic syntax and programming essentials. Discusses the various variables and data types in Python. Introduces arithmetic and other basic operators in Python. Covers comparison, logical, and assignment operators in Python. Flow of Control and Conditions: Teaches control structures and conditional statements in Python. AI CONCEPTS AND AI PROJECT FRAMEWORK: Discusses broad and narrow AI, expert systems, and examples like ELIZA. Provides an overview of key AI domains such as data sciences, computer vision, and natural language processing. Teaches how to define and scope problems in AI projects. Focuses on data collection methods and identifying data sources. Discusses techniques for exploring and understanding data.

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The Economics of Artificial Intelligence

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.